A novel simplification algorithm for point-sampled surfaces. - Renfang Wang; Sanyuan Zhang; Xiuzi Ye (MUE, 2007)

Smooth Morphing of Point-Sampled Geometry. - Renfang Wang; Changwei Zhang; Jie Hu (FGIT-GDC/IESH/CGAG, 2012)

Video retargeting combining warping and summarizing optimization. - Yongwei Nie; Qing Zhang 006; Renfang Wang; Chunxia Xiao (Vis. Comput., 2013)

GOP Adaptation Coding of H.264/SVC Based on Precise Positions of Video Cuts. - Yunpeng Liu 004; Renfang Wang; Huixia Xu; Dechao Sun (KSII Trans. Internet Inf. Syst., 2014)

On the convergence of approximating tensor-product rational Bézier surfaces using tensor-product Bézier surfaces. - Huixia Xu; Renfang Wang; Zhenyu Shu; Aimin Xu (J. Approx. Theory, 2014)

Content-adaptive Traffic Surveillance Video Coding with Extended Spatial Scalability. - Yunpeng Liu 004; Renfang Wang; Dechao Sun; Shijie Yao; Nayi Hong; Peng Jin (J. Comput., 2014)

Detail-generating geometry completion for point-sampled geometry. - Renfang Wang; Yunpeng Liu 004; De-chao Sun; Hui-xia Xu; Ji-fang Li (Mach. Vis. Appl., 2014)

Hybrid Lossless-Lossy Compression for Real-Time Depth-Sensor Streams in 3D Telepresence Applications. - Yunpeng Liu 004; Stephan Beck 001; Renfang Wang; Jin Li; Huixia Xu; Shijie Yao; Xiaopeng Tong; Bernd Froehlich 001 (PCM (1), 2015)

Content-aware model resizing with symmetry-preservation. - Chunxia Xiao; Liqiang Jin; Yongwei Nie; Renfang Wang; Hanqiu Sun; Kwan-Liu Ma (Vis. Comput., 2015)

Automatic Segmentation of Shoulder Joint in MRI Using Patch-Based and Fully Convolutional Networks. - Yunpeng Liu 004; Wenli Cai; Guobin Hong; Renfang Wang; Ran Jin (ICIP, 2018)

Shoulder Joint Image Segmentation Based on Joint Convolutional Neural Networks. - Yunpeng Liu 004; Renfang Wang; Ran Jin; Dechao Sun; Huixia Xu; Chen Dong 008 (RICAI, 2019)

Detection of Double Compressed HEVC Videos Using GOP-Based PU Type Statistics. - Xinghao Jiang; Peisong He; Tanfeng Sun; Renfang Wang (IEEE Access, 2019)

Denoising 3D Magnetic Resonance Images Based on Low-Rank Tensor Approximation With Adaptive Multirank Estimation. - Hongli Lv; Renfang Wang (IEEE Access, 2019)

Fuzzy Active Contour Model Using Fractional-Order Diffusion Based Edge Indicator and Fuzzy Local Fitted Image. - Hongli Lv; Fangjian Zhang; Renfang Wang (IEEE Access, 2020)

Robust Active Contour Model Using Patch-Based Signed Pressure Force and Optimized Fractional-Order Edge. - Hongli Lv; Fangjian Zhang; Renfang Wang (IEEE Access, 2021)

Surface River Extraction from Remote Sensing Images based on Improved U-Net. - Jiali Wu; Dechao Sun; Jian Wang; Hong Qiu; Renfang Wang; Feng Liang (CSCWD, 2022)

Adaptive Divergence-based Non-negative Latent Factor Analysis. - Ye Yuan 014; Guangxiao Yuan; Renfang Wang; Xin Luo 001 (CoRR, 2022)

Survey of natural image enhancement techniques: Classification, evaluation, challenges, and perspectives. - Xinwei Liu 001; Marius Pedersen; Renfang Wang (Digit. Signal Process., 2022)

Tensor Nuclear Norm Based Matrix Regression Based Projections for Feature Extraction of Hyperspectral Images. - Hong Qiu; Heng Jin; Renfang Wang; Xiufeng Liu; Guang Gao (CSCWD, 2023)

Spatial and Channel Exchange based on EfficientNet for Detecting Changes of Remote Sensing Images. - Renfang Wang; Zijian Yang; Hong Qiu; Xiufeng Liu; Dun Wu (CSCWD, 2023)

A Difference Enhanced Neural Network for Semantic Change Detection of Remote Sensing Images. - Renfang Wang; Hucheng Wu; Hong Qiu; Feng Wang 031; Xiufeng Liu; Xu Cheng (IEEE Geosci. Remote. Sens. Lett., 2023)

A Second-Order Symmetric Non-Negative Latent Factor Model for Undirected Weighted Network Representation. - Weiling Li; Renfang Wang; Xin Luo 001; MengChu Zhou (IEEE Trans. Netw. Sci. Eng., 2023)

A Differential Evolution-Enhanced Position-Transitional Approach to Latent Factor Analysis. - Jia Chen; Renfang Wang; Di Wu 056; Xin Luo 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2023)

Anomaly detection with a container-based stream processing framework for Industrial Internet of Things. - Renfang Wang; Hong Qiu; Xu Cheng; Xiufeng Liu (J. Ind. Inf. Integr., 2023)

An Adaptive Divergence-Based Non-Negative Latent Factor Model. - Ye Yuan 014; Renfang Wang; Guangxiao Yuan; Xin Luo 001 (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Latent in the Wild Fingerprint Recognition Competition. - Xinwei Liu 001; Renfang Wang; Tim Oblak; Lara Anzur; Peter Peer; Evaldas Borcovas; Kiran B. Raja (IJCB, 2024)

Quality Matters: Boosting Face Presentation Attack Detection With Image Quality Metrics. - Xinwei Liu 001; Renfang Wang; Wen Liu; Liangbin Zhang; Xiaoxia Wang (IEEE Access, 2024)

ORSI Salient Object Detection via Progressive Semantic Flow and Uncertainty-Aware Refinement. - Yueqian Quan; Honghui Xu; Renfang Wang; Qiu Guan; Jianwei Zheng 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

Seismic Traveltime Tomography With Label-Free Learning. - Feng Wang 031; Bo Yang 060; Renfang Wang; Hong Qiu (IEEE Trans. Geosci. Remote. Sens., 2024)

A Latent Fingerprint in the Wild Database. - Xinwei Liu 001; Kiran B. Raja; Renfang Wang; Hong Qiu; Hucheng Wu; Dechao Sun; Qiguang Zheng; Nian Liu; Xiaoxia Wang; Gehang Huang; Raghavendra Ramachandra; Christoph Busch 001 (IEEE Trans. Inf. Forensics Secur., 2024)

A Generalized Nesterov's Accelerated Gradient-Incorporated Non-Negative Latent-Factorization-of-Tensors Model for Efficient Representation to Dynamic QoS Data. - Minzhi Chen; Renfang Wang; Yan Qiao; Xin Luo 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

Dual-Enhanced High-Order Self-Learning Tensor Singular Value Decomposition for Robust Principal Component Analysis. - Honghui Xu; Chuangjie Fang; Renfang Wang; Shengyong Chen; Jianwei Zheng 001 (IEEE Trans. Artif. Intell., 2024)

Class-Imbalanced Spatial-Temporal Feature Learning for Blade Icing Recognition of Wind Turbine. - Renfang Wang; Hong Qiu; Guoqian Jiang; Xiufeng Liu; Xu Cheng (IEEE Trans. Ind. Informatics, 2024)

A Correlation-Aware Diffusion Model for Multivariate Time Series Anomaly Detection with Missing Values. - Zhanneng Zeng; Renfang Wang; Hong Qiu; Xiufeng Liu; Xu Cheng (CSCWD, 2025)

SPDM: Spatiotemporal-Periodic Diffusion Model for Multivariate Time Series Imputation. - Qia Zhang; Renfang Wang; Hong Qiu; Xiufeng Liu; Xu Cheng (CSCWD, 2025)

Enhancing spatiotemporal wind power forecasting with meta-learning in data-scarce environments. - Renfang Wang; Jingtong Wu; Xu Cheng; Xiufeng Liu; Hong Qiu (Eng. Appl. Artif. Intell., 2025)

Adaptive expert fusion model for online wind power prediction. - Renfang Wang; Jingtong Wu; Xu Cheng; Xiufeng Liu; Hong Qiu (Neural Networks, 2025)

A Generalized Nesterov-Accelerated Second-Order Latent Factor Model for High-Dimensional and Incomplete Data. - Weiling Li; Renfang Wang; Xin Luo 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

EFKAN: A KAN-Integrated Neural Operator For Efficient Magnetotelluric Forward Modeling. - Feng Wang 031; Hong Qiu; Yingying Huang; Xiaozhe Gu; Renfang Wang; Bo Yang 060 (CoRR, 2025)

A Highly-Accurate Three-Way Decision-Incorporated Online Sparse Streaming Features Selection Model. - Ruiyang Xu; Di Wu 056; Renfang Wang; Xin Luo 001 (IEEE Trans. Syst. Man Cybern. Syst., 2025)